Analysis of Various Techniques and Methods in Hand Gesture Recognition and Facial Detection

More effective and friendly methods for Human Computer Interaction (HCI) are being developed due to the pervasiveness of new information technology and media, which do not need any traditional interacting devices such as keyboards, mice, and displays. The face processing research based on the premise that information about a user’s identity, state, and intent can be extracted from images, and that computers can then react accordingly. Gesture recognition aims at creating a system to convey information or for device control which can be identified by specific human gestures. Real-time vision-based hand gesture recognition is considered to be more and more feasible for HCI with the help of latest advances in the field of computer vision and pattern recognition. This survey papers deals with discussion of various techniques, methods and algorithms related to the gesture recognition and sheds information about Face detection. One of the natural way of communications is to use hand gesture which combines the emotions of human to real world. Hand gesture recognition has the various advantages of able to communicate with the Technology through basic sign language. The gesture will able to reduce the use of most prominent hardware devices which are used to control the activities of computer.